Jinyun Tang

10.4k total citations · 1 hit paper
79 papers, 2.7k citations indexed

About

Jinyun Tang is a scholar working on Soil Science, Global and Planetary Change and Environmental Chemistry. According to data from OpenAlex, Jinyun Tang has authored 79 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Soil Science, 32 papers in Global and Planetary Change and 20 papers in Environmental Chemistry. Recurrent topics in Jinyun Tang's work include Soil Carbon and Nitrogen Dynamics (36 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Soil and Water Nutrient Dynamics (17 papers). Jinyun Tang is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (36 papers), Plant Water Relations and Carbon Dynamics (17 papers) and Soil and Water Nutrient Dynamics (17 papers). Jinyun Tang collaborates with scholars based in United States, Canada and China. Jinyun Tang's co-authors include W. J. Riley, Qianlai Zhuang, Qing Zhu, Charles D. Koven, Margaret Torn, Nicholas Bouskill, Z. M. Subin, S. C. Swenson, William D. Collins and David M. Lawrence and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Jinyun Tang

76 papers receiving 2.7k citations

Hit Papers

Knowledge-guided machine learning can improve carbon cycl... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jinyun Tang United States 30 1.3k 1.0k 978 567 480 79 2.7k
Joseph C. von Fischer United States 32 1.1k 0.8× 1.3k 1.3× 1.2k 1.2× 1.0k 1.8× 688 1.4× 59 3.4k
Jeroen Staelens Belgium 32 985 0.8× 657 0.6× 1.0k 1.1× 394 0.7× 637 1.3× 67 3.0k
Ulrik Ilstedt Sweden 27 1.2k 1.0× 742 0.7× 890 0.9× 323 0.6× 365 0.8× 61 2.6k
Joachim Ingwersen Germany 33 1.2k 0.9× 633 0.6× 748 0.8× 524 0.9× 428 0.9× 101 3.0k
Rainer Gasché Germany 27 1.7k 1.3× 1.0k 1.0× 851 0.9× 849 1.5× 432 0.9× 55 2.5k
Xiaofeng Chang China 28 1.8k 1.4× 1.2k 1.2× 693 0.7× 239 0.4× 511 1.1× 53 2.8k
Sharon Billings United States 37 2.2k 1.7× 1.6k 1.5× 1.0k 1.0× 617 1.1× 716 1.5× 105 3.8k
Changchun Song China 40 1.7k 1.4× 2.8k 2.7× 1.3k 1.3× 814 1.4× 1.0k 2.1× 185 4.7k
J. Schimel United States 12 779 0.6× 1.0k 1.0× 644 0.7× 283 0.5× 805 1.7× 16 2.5k

Countries citing papers authored by Jinyun Tang

Since Specialization
Citations

This map shows the geographic impact of Jinyun Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jinyun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyun Tang more than expected).

Fields of papers citing papers by Jinyun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinyun Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jinyun Tang. The network helps show where Jinyun Tang may publish in the future.

Co-authorship network of co-authors of Jinyun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyun Tang. A scholar is included among the top collaborators of Jinyun Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinyun Tang. Jinyun Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Qin, Rongzhu, Kaiyu Guan, Bin Peng, et al.. (2025). A model-data fusion approach for quantifying the carbon budget in cotton agroecosystems across the United States. Agricultural and Forest Meteorology. 363. 110407–110407. 1 indexed citations
2.
Guan, Kaiyu, Wang Zhou, Bin Peng, et al.. (2025). Comparing continuous-corn and soybean-corn rotation cropping systems in the U.S. central Midwest: Trade-offs among crop yield, nutrient losses, and change in soil organic carbon. Agriculture Ecosystems & Environment. 393. 109739–109739. 1 indexed citations
3.
Riley, W. J., Jinyun Tang, Qing Zhu, et al.. (2025). Representing Soil Microbial Dynamics and Organo‐Mineral Interactions in the E3SM Land Model (ELM‐ReSOM). Journal of Advances in Modeling Earth Systems. 17(10).
4.
Tang, Jinyun, W. J. Riley, Stefano Manzoni, & Federico Maggi. (2024). Feasibility of Formulating Ecosystem Biogeochemical Models From Established Physical Rules. Journal of Geophysical Research Biogeosciences. 129(6). 4 indexed citations
5.
Abeshu, Guta Wakbulcho, Hong‐Yi Li, Mingjie Shi, et al.. (2024). Generalized Relationship Linking Water Balance and Vegetation Productivity across Site-to-Regional Scales. Journal of Hydrologic Engineering. 29(5). 2 indexed citations
6.
Zhu, Qing, W. J. Riley, Jinyun Tang, & Nicholas Bouskill. (2024). Plant responses to elevated CO2 under competing hypotheses of nitrogen and phosphorus limitations. Ecological Applications. 34(3). e2967–e2967. 2 indexed citations
7.
Li, Zhen, R. F. Grant, Kuang‐Yu Chang, et al.. (2024). Soil incubation methods lead to large differences in inferred methane production temperature sensitivity. Environmental Research Letters. 19(4). 44069–44069. 4 indexed citations
8.
Liu, Licheng, Wang Zhou, Kaiyu Guan, et al.. (2024). Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems. Nature Communications. 15(1). 357–357. 60 indexed citations breakdown →
9.
Knox, Ryan, Charles D. Koven, W. J. Riley, et al.. (2024). Nutrient Dynamics in a Coupled Terrestrial Biosphere and Land Model (ELM‐FATES‐CNP). Journal of Advances in Modeling Earth Systems. 16(3). 5 indexed citations
10.
Wang, Qiang, Xitian Cai, Jinyun Tang, et al.. (2023). Climate feedbacks associated with land-use and land-cover change on hydrological extremes over the Yangtze River Delta Region, China. Journal of Hydrology. 623. 129855–129855. 12 indexed citations
11.
Qin, Ziqi, Kaiyu Guan, Wang Zhou, et al.. (2023). Assessing long‐term impacts of cover crops on soil organic carbon in the central US Midwestern agroecosystems. Global Change Biology. 29(9). 2572–2590. 34 indexed citations
12.
Zhu, Qing, W. J. Riley, Jinyun Tang, et al.. (2023). Present and Future Changes in Land‐Atmosphere Coupling of Water and Energy Over Extratropical Forest Regions. Journal of Geophysical Research Atmospheres. 128(8).
13.
Harrop, Bryce E., Susannah M. Burrows, Katherine Calvin, et al.. (2022). Diurnal Rainfall Response to the Physiological and Radiative Effects of CO2 in Tropical Forests in the Energy Exascale Earth System Model v1. Journal of Geophysical Research Atmospheres. 127(10).
14.
Tang, Jinyun, W. J. Riley, Gianna L. Marschmann, & Eoin Brodie. (2021). Conceptualizing Biogeochemical Reactions With an Ohm's Law Analogy. Journal of Advances in Modeling Earth Systems. 13(10). 4 indexed citations
16.
Zhu, Qing, W. J. Riley, Jinyun Tang, et al.. (2019). Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking. Journal of Advances in Modeling Earth Systems. 11(7). 2238–2258. 94 indexed citations
17.
Cai, Xitian, W. J. Riley, Qing Zhu, et al.. (2019). Improving Representation of Deforestation Effects on Evapotranspiration in the E3SM Land Model. Journal of Advances in Modeling Earth Systems. 11(8). 2412–2427. 29 indexed citations
18.
Riley, W. J., Qing Zhu, & Jinyun Tang. (2018). Weaker land–climate feedbacks from nutrient uptake during photosynthesis-inactive periods. Nature Climate Change. 8(11). 1002–1006. 37 indexed citations
19.
Dwivedi, Dipankar, W. J. Riley, Margaret Torn, et al.. (2017). Mineral properties, microbes, transport, and plant-input profiles control vertical distribution and age of soil carbon stocks. Soil Biology and Biochemistry. 107. 244–259. 68 indexed citations
20.
Zhu, Qing, W. J. Riley, Jinyun Tang, & Charles D. Koven. (2016). Multiple soil nutrient competition between plants, microbes, and mineral surfaces: model development, parameterization, and example applications in several tropical forests. Biogeosciences. 13(1). 341–363. 101 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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